M. G. Matveev, V. V. Mihailov, E. A. Sirota, G. S. Novickiy, “Methods of modeling equation of state meteorological system based on neural networks”, Meždunar. nauč.-issled. žurn., 2014, Issue 1(20),Pages <nobr>38

PHYSICS AND MATHEMATICS

Methods of modeling equation of state meteorological system based on neural networks

M. G. Matveev^a, V. V. Mihailov^b, E. A. Sirota^a, G. S. Novickiy^a

^a Voronezh State University
^b VVS Academy named after Gagarin and Jukovsky

Abstract: The aim of this work was to construct a system of vector autoregression to analyze the dynamics of unsteady vector meteorological process, as well as the possibility of using experimental basis vector autoregression models with variable parameters for the analysis of the dynamics of non-stationary processes in meteorology using neural networks.

Keywords: vector autoregression, non-stationary meteorological processes, equation of state, neural network.